Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use micoff/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use micoff/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="micoff/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("micoff/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("micoff/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e18ce4b7337f9b309f9ef486c182c2590e936a359237915bee8d6a8849382b2
- Size of remote file:
- 4.73 kB
- SHA256:
- 80838791b17014e6ea6f715e0a2aa8e338ab72a662917e2d123398c552ac3a30
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